052215 VU Visualisation and Visual Data Analysis (2022W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 14.09.2022 09:00 to We 21.09.2022 09:00
- Deregistration possible until Fr 14.10.2022 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
04.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
06.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
11.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
13.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
18.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
20.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
25.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
27.10.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
03.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
08.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
10.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
15.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
17.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
22.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
24.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
29.11.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
01.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
06.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
13.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
15.12.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
10.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
12.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
17.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
19.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
24.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
26.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
31.01.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Tuesday
31.01.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
02.02.
11:30 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
02.02.
13:15 - 14:45
Hörsaal 3, Währinger Straße 29 3.OG
Information
Aims, contents and method of the course
Assessment and permitted materials
handing in of homework, 5x assignments, 56%
2 tests, 40%
participation 4%
2 tests, 40%
participation 4%
Minimum requirements and assessment criteria
A mandatory prerequisite for this class is the successful completion of either Foundations of Computer Graphics (05-2200) or Foundations of Data Analysis (05-2300).The grading scale for the course will be:
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%In order to pass the course successfully, you will need to reach a minimum of 50% on all assignments combined, 25% of the points on the last assignment, as well as a minimum of 40% on the tests combined.
1: at least 87.5%
2: at least 75.0%
3: at least 62.5%
4: at least 50.0%In order to pass the course successfully, you will need to reach a minimum of 50% on all assignments combined, 25% of the points on the last assignment, as well as a minimum of 40% on the tests combined.
Examination topics
applied exercises and tasks
readings
readings
Reading list
T. Munzner: Visualization Analysis & Design: Abstractions, Principles, and Methods, CRC Press, 2014various papers as presented on the course page
Association in the course directory
Module: VIS VMI
Last modified: Mo 16.01.2023 14:08
* Visual design principles and the visualization pipeline
* Design studies
* Data acquisition and representation
* Basic visual mapping concepts (marks + channels)
* Human visual perception + Color
* Visual mappings for tables and multi/high-dimensional data
* Visual mappings for networks, graphs and trees
* Visual mappings and algorithms for 2D+3D scalar, vector, and tensor fields
* Principles of multiple coordinated views
* Data interaction principles including Brushing+Linking, Navigation+Zoom , Focus+context
* Principles of Evaluation of visual analysis systems
* some selected advanced topicCourse-specific goals -- students can:
* represent and interact with various data visually
* evaluate visual depictions of data and possible find improved presentations
* assist users in visual data analysis
* use different visual analysis tools, like Tableau
* use D3 to create interactive web-visualization environmentsGeneral goals -- students gain:
* insight into a new discipline and extend their scientific horizons
* an appreciation for the interplay of mathematical analysis and user-centered design
* experience working in a team